SIPLAB: Sensing, Interaction & Perception Lab
The SIPLAB at ETH Zürich is an interdisciplinary research lab working on egocentric perception, computational interaction, and digital biomarkers. We advance mixed reality, robotics, human-computer interaction, and precision medicine. We are part of the Department of Computer Science and the AI Center.
egocentric perception
scalable methods for action & motion tracking
computational interaction
decoding input intent for adaptive systems
digital biomarkers
signal processing for mobile health
Projects to appear and recent research
Contimask
Explaining Irregular Time Series via Perturbations in Continuous TimeLearning Without Augmenting
Unsupervised Time Series Representation Learning via Frame ProjectionsegoEMOTION
Emotion and Personality Recognition using Egocentric SystemsGroup Inertial Poser
Multi-Person Pose and Global Translation from Sparse Inertial Sensors and Ultra-Wideband RangingegoPPG
Heart Rate Estimation as a Novel Vision Task in Egocentric SystemsLearning Heart Rate Patterns
Continuous Heart Rate Estimation with Optical SensorsPreference-guided UI Adaptation
Multi-objective optimization by demonstrationEfficient Visual Appearance Optimization
By Learning from Pior PreferencesPersonality-Emotion Framework
A joint framework for conversational agentsAffiliations and collaborations
- ELLIS Unit Zürich
- Max Planck ETH Center for Learning Systems (CLS)
- Department of Information Technology & Electrical Engineering (D-ITET)
- ETH Augmented Reality Research Hub (ETHAR)
- Human-Computer Interaction @ ETH Zürich (HCI@ETH)
- Competence Centre for Rehabilitation Engineering and Science (ETH RESC)
- Zurich Information Security & Privacy Center (ZISC)